{"id":"W2996639604","doi":"10.21810/pop.2019.006","title":"Social Media Engine: Extending our Methodology into other Objects of Scholarship","year":2019,"lang":"en","type":"article","venue":"Pop! Public Open Participatory","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Scholarship; Social media; Relevance (law); Context (archaeology); Computer science; World Wide Web; Work (physics); Data science; Knowledge management; Political science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01935009,0.001060425,0.00107668,0.01022927,0.005756752,0.01427934,0.004845973,0.004041901,0.01408392],"category_scores_gemma":[0.02090889,0.0009141693,0.002526096,0.007162066,0.01212039,0.02363608,0.01152747,0.003820169,0.004251251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002580344,"about_ca_system_score_gemma":0.004550773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00316768,"about_ca_topic_score_gemma":0.00422352,"domain_scores_codex":[0.9812738,0.01266047,0.0008696505,0.002200589,0.002379311,0.0006163233],"domain_scores_gemma":[0.9797498,0.009738,0.0008982233,0.006956303,0.001759012,0.0008985866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008895372,0.00004603393,0.0005332449,0.0001152091,0.00001560579,0.0001519107,0.005072734,0.0005059749,0.0002755324,0.9701625,0.0007583114,0.02235402],"study_design_scores_gemma":[0.00002489865,0.00006589659,0.0005619289,0.000364902,0.00005039378,0.0004109243,0.006744498,0.01509341,0.001550367,0.7280482,0.2470275,0.00005711115],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004290657,0.0003993152,0.9672143,0.002109893,0.0002040604,0.0004504763,0.0001237926,0.0003616987,0.02484579],"genre_scores_gemma":[0.1363061,0.0007927637,0.8376123,0.0006560087,0.0002650908,0.00124755,0.0003296426,0.0003861331,0.02240457],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01935009,"threshold_uncertainty_score":0.1023343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3761892858170479,"score_gpt":0.4410949343054007,"score_spread":0.06490564848835279,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}